Systems and Methods Employing Graph-Derived Features for Fraud Detection

2. The method according to claim 1, further comprising applying, by the computer, a classification model on the risk score to determine a risk classification.

3. The method according to claim 1, further comprising transmitting, by the computer, a risk assessment output to a third-party device, the risk assessment output indicating at least one of the risk score and a risk classification.

4. The method according to claim 1, further comprising storing, by the computer, a call data record in a record database including the inbound call data, the inferred identity, the identity claim, and the first set of features.

6. The method according to claim 5, wherein the second graph structure is generated according to a plurality of call data records stored in a record database, the plurality of call data records storing prior call data, prior inferred identities, prior identity claims, and the first set of features associated with prior calls.

8. The method according to claim 1, wherein the second set of features includes features extracted directly from the graph structure.

9. The method according to claim 1, wherein the second set of features includes similarity based index methods indicating a similarity between a set of inferred identities and a set of identity claims of the graph structure.

12. The system according to claim 11, wherein the server is further configured to apply a classification model on the risk score to determine a risk classification.

13. The system according to claim 11, wherein the server is further configured to transmit a risk assessment output to a third-party device, the risk assessment output indicating at least one of the risk score and a risk classification.

14. The system according to claim 11, wherein the server is further configured to store a call data record in a record database including the inbound call data, the inferred identity, the identity claim, and the first set of features.

16. The system according to claim 15, wherein the second graph structure is generated according to a plurality of call data records stored in a record database, the plurality of call data records storing prior call data, prior inferred identities, prior identity claims, and the first set of features associated with prior calls.

18. The system according to claim 11, wherein the second set of features includes features extracted directly from the graph structure.

19. The system according to claim 11, wherein the second set of features includes similarity based index methods indicating a similarity between a set of inferred identities and a set of identity claims of the graph structure.